Figma (FIG) Return on Sales [ROS] (2024 - 2026)
Figma's Return on Sales [ROS] came in at -30.44% for Q3 2026, up 384.18 percentage points from -414.62% a year earlier and up 1.25 percentage points from the prior quarter.
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Analysis
Figma (FIG) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Figma reported Return on Sales [ROS] of -40.71%, up 66.97 percentage points year-over-year; for FY2025, it was -122.23%, down 5.08 percentage points from FY2024.
- Going back by year, Return on Sales [ROS] was -117.15% in FY2024 (-102.60 pp) and -14.55% in FY2023.
- The Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2025.
- Year-over-year, Return on Sales [ROS] increased in two of the last six quarters, with an average year-over-year change of +53.26 percentage points.
- Business Quant data shows FIG's Return on Sales [ROS] at -31.69% (Q2 2026), -41.21% (Q1 2026) and -64.36% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 34.82% |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 29.28% |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 11.93% |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 9.53% |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | -30.44% |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 26.10% |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 23.70% |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 7.97% |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | 15.00% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -30.44% |
| Jun 30, 2026 | -31.69% |
| Dec 31, 2025 | -64.36% |
| Sep 30, 2025 | -414.62% |
| Jun 30, 2025 | 0.83% |
| Dec 31, 2024 | 23.82% |
| Sep 30, 2024 | -23.83% |
| Jun 30, 2024 | -504.68% |
API Access
Figma Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=FIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=FIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();